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Five years ago today, Grafana Loki was introduced to the world on the KubeconNA 2018 stage when David Kaltschmidt, now a Senior Director of Engineering at Grafana Labs, clicked the button to make the Loki repo public live in front of the sold-out crowd. At the time, Loki was a prototype: We bolted together Grafana as a UI, Cortex internals, and Prometheus labels to find out if there was a need for a new open source tool to manage logs.

This is the fourth part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. One challenge in conducting end-to-end (E2E) testing is managing the artifacts created during the process. These artifacts are necessary for asserting specific functionalities.

This is the third part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. When it comes to running self-hosted services or side projects, monitoring is key. But, who has the time to set up a complex monitoring system? We want to deliver cool software and not be busy with configuring Prometheus servers or Grafana Dashboards.

In this tutorial, you will learn how to collect logs using the Loki receiver in OpenTelemetry Collector to send logs to SigNoz. If you’re using Promtail to collect logs, you can send them to SigNoz instead of Loki via the OpenTelemetry Collector. In this tutorial, we cover: If you want to jump straight into implementation, start with this prerequisites section.

Table of contents This is the second part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. We encountered a tricky issue with our public dashboards: they were experiencing sporadic outages, happening about once every two days. The infrequency and unpredictability of these outages made them particularly challenging to diagnose.

Find out how our new IPAM and SPM add-on can simplify IP and switch port management in your multi-client IT environment.

Learn how CHCN monitors their critical healthcare applications and ensures optimal patient care.

Monitor the performance of your Python applications with deep insights, analyze the business-critical metrics across your application stack, and optimize their performance to ensure smooth end-user experiences in real time.

10 new Azure services have been added to our roster. Learn more.

In the quest for a high-velocity development environment, one fundamental question looms large: "How can you ensure an exceptional end-user experience when an array of engineers continually push and deploy code?" The unequivocal answer to this pivotal inquiry lies in the establishment of robust, straightforward, and well-defined monitoring practices.